jLab v. 1.6.6

A data analysis package for Matlab, with ∼300 routines for big data analysis, signal processing, mapping, and oceanographic applications.

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Version 1.6.6 introduces several dozen improvements as well as ten new functions, including ncload for easy reading of NetCDF files and interplatlon for interpolation on the sphere. See the changelog for details.

jLab, 130 Mb zip

To install jLab, after unzipping, rename the top-level directory to “jlab”. Put “addpath /your/path/to/jlab” followed by “jlab_addpath” into your startup.m file, and type “startup” at the Matlab prompt. Then kindly type “jlab_runtests” and follow the instructions.

To get started, type “help jlab” or browse the extensive online documentation.

Kindly acknowledge jLab in scientific publications as

“Lilly, J. M. (2019), jLab: A data analysis package for Matlab, v. 1.6.6, http://www.jmlilly.net/software.”

You may share and adapt this software under the Creative Commons Attribution-Noncommercial-ShareAlike License. To comment, contribute, or report issues, visit the hosting page at GitHub, or else email me.

If you use jLab, I ask that you please sign up for the mailing list so that I can inform you of updates. Expect 1-3 emails per year.